70343 Entity Published / External 70316 Density of Cetaceans and Turtles in the Gulf of Mexico Data Set Completed 2022 2023 Contents of this zip file: Consists of a readme file and two directories/folders populated with files. These two diretories/folders are Rasters and ArcGIS_Symbology Rasters (Directory) *_MMM_density_v2.img - Rasters giving the estimated mean density for month (represented in file name by abbreviated month name (MMM)), expressed as the number of individual animals per 100 square km.To convert from individuals per 100 square km to the more traditional unit of density, individuals per 1 square km, divide the cell values by 100. Note that several taxa were modeled with only static covariates and therefore will have the same predictions for each month. *_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of the density estimates for month (represented in file name by abbreviated month name (MMM)). These values are unitless and were computed as standard error divided by density. ArcGIS_Symbology (Directory) *_density_v2_nper100km2.lyr - ArcGIS "layer" files for symbolizing the density rasters using a Classified symbology that has logarithmic breaks suitable for showing variability in both high and low density areas. To use these, load the raster into ArcGIS and import the symbology from the file. *_cv.lyr - ArcGIS "layer" file for symbolizing CV using a classified symbology that ranges from 0 to >=1. To provide a Gulf-wide cetacean and sea turtle spatial density models (SDMs) based on line-transect surveys conducted in the U.S. waters of the Gulf of Mexico for Rice's whale (Balaenoptera ricei) Reports: Not Yet Provided Other Yes Consists of a readme file and two directories populated with files that contain the files of the model 10 readme text No No Active Describes the contents of the zip file 20 Rasters directory No No Active Contains img files _MMM_density_v2.img - Rasters giving the estimated mean density for month (represented in file name by abbreviated month name (MMM)), expressed as the number of individual animals per 100 square km.To convert from individuals per 100 square km to the more traditional unit of density, individuals per 1 square km, divide the cell values by 100. Note that several taxa were modeled with only static covariates and therefore will have the same predictions for each month. *_MMM_cv_mask_v2.img - Rasters giving the estimated coefficient of variation of the density estimates for month (represented in file name by abbreviated month name (MMM)). These values are unitless and were computed as standard error divided by density 30 ArcGIS_Symbology directory No No Active ontains .lyr - ArcGIS "layer" files for symbolizing the density rasters using a Classified symbology that has logarithmic breaks suitable for showing variability in both high and low density areas. To use these, load the raster into ArcGIS and import the symbology from the file. Author 2022 Person Litz, Jenny Jenny.Litz@noaa.gov 75 Virginia Beach Drive Miami FL 33139 305-361-4224 305-365-4102 Author 2022 Person Rappucci, Gina gina.rappucci@noaa.gov https://orcid.org/0000-0001-5828-4024 75 Virginia Beach Drive Miami FL 33149 (305) 361-4283 Author 2022 Person Dias, Laura A laura.dias@noaa.gov https://orcid.org/0000-0001-9378-4577 75 Virginia Beach Drive Miami FL 33149 (305) 361-4269 https://orcid.org/0000-0001-9378-4577 ORCID Page Laura Dias Online Resource Author 2022 2025-02 Person Martinez, Anthony anthony.martinez@noaa.gov 75 Virginia Beach Drive Miami FL 33149 USA 305-361-4486 305-361-4478 Author 2022 Person Soldevilla, Melissa melissa.soldevilla@noaa.gov 75 Virginia Beach Drive Miami FL 33149 USA 305-361-4238 Author 2022 2023-07 Person Barry, Kevin kevin.barry@noaa.gov 3209 Frederic St. Pascagoula MS 39568 228-549-1608 228-769-9200 Author 2022 Person Mullin, Keith D keith.d.mullin@noaa.gov https://orcid.org/0000-0002-4094-9718 3209 Frederic St. Pascagoula MS 39568 228-549-1632 228-769-9200 Data Steward 2022 Person Garrison, Lance Lance.Garrison@noaa.gov 75 Virginia Beach Dr Miami FL 33149 305-361-4488 305-361-4478 8:00 AM - 4:30 PM EST/EDT Data Steward 2022 Person Litz, Jenny Jenny.Litz@noaa.gov 75 Virginia Beach Drive Miami FL 33139 305-361-4224 305-365-4102 Distributor 2022 Organization OBIS-SEAMAP OBIS-SEAMAP seamap-contact@duke.edu Marine Geospatial Ecology Lab A328 Levine Science Rsch Ctr at Duke Durham NC 27708 919-613-8021 https://seamap.env.duke.edu/ OBIS-SEAMAP Home Page Ocean Biodiversity Information System Spatial Ecological Analysis of Megavertebrate Populations. The World Data Center for Marine Mammal, Seabird, Sea Turtle, Shark & Ray Distributions Online Resource Metadata Contact 2022 Person Dias, Laura A laura.dias@noaa.gov https://orcid.org/0000-0001-9378-4577 75 Virginia Beach Drive Miami FL 33149 (305) 361-4269 https://orcid.org/0000-0001-9378-4577 ORCID Page Laura Dias Online Resource Originator 2022 Organization Southeast Fisheries Science Center SEFSC https://ror.org/0396y0w87 75 Virginia Beach Drive Miami FL 33149 USA (305)361-5761 https://www.fisheries.noaa.gov/about/southeast-fisheries-science-center About SEFSC Online Resource 8:00 a.m. - 4:30 p.m. EST https://seamap.env.duke.edu/seamap-models-files/SEFSC/GOM/Rices_whale/v2.2/Rices_whale_v2.2.zip 2022 Organization OBIS-SEAMAP Rices_whale_v2.2.zip Zip 4.613 MB Zip Chked Viruses Inapp Content gov.noaa.nmfs.inport:70343 Lee Weinberger 2023-07-24T23:41:09 SysAdmin InPortAdmin 2026-03-04T19:17:26 2023-07-25 Southeast Fisheries Science Center SEFSC 75 Virginia Beach Drive Miami FL 33149 USA (305)361-5761 www.sefsc.noaa.gov 8:00 a.m. - 4:30 p.m. EST 1001 Public No 1 Year